The Solution


Diyotta’s Modern Data Integration Suite addresses the challenges below and provides an easy, drag & drop interface to quickly and efficiently build the data pipelines without any technical knowledge on SnowSQL. Additionally, you can convert the existing stored procs or scripts into metadata driven processes that can run in a set-based manner on Snowflake using Diyotta.

Ready to leverage Snowflake? Diyotta solves many common challenges.


Historical data migration from On-Premise systems
Source data from SaaS applications
Perform transformations using Snowflake’s processing power (ELT on Snowflake)
Provision data from Snowflake for reporting/analytics or downstream applications
Orchestrate data movement and transformations across data flows

Data Processing on Snowflake


  • Complete orchestration of transformations with SET based processing instructions – no row by row processing
  • Native F(x) Library & Native Code Generation
  • Native platform optimized Instructions
WATCH THE DEMO >>>

Fill out the form below to schedule a demo or learn more about Diyotta and Snowflake.








Diyotta and Snowflake Integrators


Fill out the form below to schedule a demo or learn more about Diyotta and Snowflake.








Diyotta and Snowflake Integrators


Cassandra
MySQL
Oracle
ElasticSearch
SQL Server
IBM DB2
PostgreSQL
Teradata
IBM Netezza
SpliceMachine
IBM BigSQL
Greenplum
SAS
Snowflake
Apache Hawq
Sybase

JSON
XML
Flatfile
Fixed width
EBCDIC
SAS
Avro
Cobol

Salesforce
Any REST API
Google Analytics
Google BigQuery
Amazon Redshift
Amazon RDS
Thoughtspot
Tableau
Twitter
Amazon S3

Apache Kafka
JMS
Spark Streaming
Apache Kinesis
AWS SQS
AWS SNS
MQTT

Hive
Hbase
HDFS
Avro
Apache Impala
Hortonworks HDP
Cloudera CDH
MapR
Apache Kudu
Apache Presto

Apache Spark
Hive
Snowflake
Teradata
Postgres
Oracle Exadata
JDBC
Apache Phoenix

Any executable command
External DB Command
External Scripts
SFTP
FTP
REST API